Large retailers have thousands of locations and often include company-owned stores and kiosks, authorized dealers, and third-party retail locations. Stores are designed to enhance the customer experience as well as customer service. And retailers that offer a wide range of applications, accessed via desktop and mobile devices, must ensure consistent app quality and performance. In addition to the challenges of cross-platform testing, other practical limitations exist under traditional testing techniques, according to our customers.
One of the world’s leading global food service retailers at the forefront of the digital revolution in the industry uses Eggplant to test its touch-screen POS systems, in-store self-service kiosks, and a mobile ordering app.
“We initially used Eggplant to create testing packs that cover one, three, or five days of test execution, and we have since expanded those packs to include more and more coverage, including more market-specific packs. It used to take us a week to conduct the regression testing that we needed to, but since using Eggplant, we have been able to reduce this to just one day. If my lab gets a release on Friday, it’s out by Tuesday, which is a dramatic result.”
An Eggplant AI accelerator, containing both the model and a skeleton of a relevant Eggplant Functional suite, to model a point of sale machine for ordering food, drinks and desserts.
An Eggplant AI accelerator, containing both the model and a skeleton of a relevant Eggplant Functional suite, to model a retail clothing website including adding items to basket and checking out.